Triple
T14506631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stuart Hameroff |
E340279
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Stuart |
E257451
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Stuart | Statement: [Stuart Hameroff, givenName, Stuart]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stuart Context triple: [Stuart Hameroff, givenName, Stuart]
-
A.
Stuart
Stuart is the royal dynasty that ruled Scotland and later England and Ireland, most famously associated with monarchs such as James I and Charles I.
-
B.
Stuart
chosen
Stuart is a masculine given name of Scottish origin, traditionally derived from the occupational surname "Stewart" meaning a household guardian or steward.
-
C.
Stuart
Stuart is a small coastal city in Florida known for its historic downtown, boating and fishing, and location along the Treasure Coast.
-
D.
Arthur Stuart
Arthur Stuart is a fictional journalist and former glam-rock fan who serves as the introspective narrator investigating the rise and fall of a 1970s rock icon in the film "Velvet Goldmine."
-
E.
Stuart Earl
Stuart Earl is a British composer known for creating atmospheric and dramatic scores for film and television productions.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d822d9c0408190b9a2b3643e58bb4d |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69de94e40e44819084f323f8f9982b75 |
completed | April 14, 2026, 7:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd6da07ff481909fb2463b0ea92849 |
completed | May 8, 2026, 4:59 a.m. |
Created at: April 10, 2026, 1:21 a.m.